This study investigated the impact of anonymizing text on predicted scores made by two kinds of automated scoring engines: one that incorporates elements of natural language processing (NLP) and one that does not. Eight data sets (N = 22,029) were used to form both training and test sets in which the scoring engines had access to both text and…

The reliability of four branching algorithms commonly used in computer adaptive testing (CAT) was examined. These algorithms were: (1) maximum likelihood (MLE); (2) Bayesian; (3) modal Bayesian; and (4) crossover. Sixty-eight undergraduate college students were randomly assigned to one of the four conditions using the HyperCard-based CAT program,…

Describes a pilot study of computerized adaptive testing in the Michigan Educational Assessment Program's tenth-grade mathematics problem-solving and applications subtests. Comparisons are made to pencil-and-paper tests, and student reactions as determined by a posttest survey are discussed. (LRW)